Patient-individualized boundary conditions for CFD simulations using time-resolved 3D angiography

Area of Science:

• Medical Imaging
• Computational Fluid Dynamics
• Biomedical Engineering

Background:

• Hemodynamic simulations are crucial for assessing aneurysmal rupture risk and guiding treatment planning.
• Accurate simulations require patient-specific boundary conditions, including vascular geometry and inflow parameters.

Purpose of the Study:

• To propose and evaluate methods for automatic estimation of patient-specific boundary conditions for CFD simulations.
• To optimize inflow waveforms using mean velocity and pulsatility derived from a single rotational angiography scan.

Main Methods:

• Reconstruction of vascular geometry from 3D rotational angiography.
• Statistical analysis to estimate mean velocity and iterative optimization for pulsatility.
• Automatic determination of heart rate and synchronization of inflow waveforms using time-intensity curves.

Main Results:

• Average error of approximately [Formula: see text] for mean velocity and [Formula: see text] for pulsatility.
• Precise heart rate estimation with an average error of about [Formula: see text] (approx. 6 ms).
• Excellent qualitative match between simulated and measured time-intensity curves.

Conclusions:

• The developed methods can accurately estimate patient-specific boundary conditions from a single rotational scan.
• This facilitates more precise hemodynamic simulations for clinical applications.